Triple
T38222124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dbx noise reduction |
E1012037
|
entity |
| Predicate | decodingProcess |
P14388
|
FINISHED |
| Object | expands dynamic range after playback |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: expands dynamic range after playback | Statement: [dbx noise reduction, decodingProcess, expands dynamic range after playback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decodingProcess Context triple: [dbx noise reduction, decodingProcess, expands dynamic range after playback]
-
A.
decodingStage
Indicates the stage or phase in a decoding process at which a particular action, transformation, or state occurs.
-
B.
decodingAbstraction
Indicates the process or relationship by which a concrete encoded form is interpreted into a more general, conceptual, or higher-level representation.
-
C.
decodingMethod
chosen
Indicates the technique or process used to convert encoded or encrypted data back into its original, interpretable form.
-
D.
decryptionProcess
Indicates the action or procedure of converting encrypted data back into its original, readable form using the appropriate decryption method or key.
-
E.
deciphers
Indicates the action of successfully interpreting or figuring out the meaning of something that is difficult to understand or encoded.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.